A comparison of methods used to calculate ultrasonic myocardial backscatter in the time domain.

The cyclic variation of ultrasonic integrated backscatter from the left ventricular posterior wall and interventricular septum of the heart is now well documented in the literature, with minimal values occurring at end-systole and maximal at end-diastole. However, little work has been performed to date to determine whether cyclic cardiac variation of other, more easily derived, backscatter parameters exists. In this study, 20 baseline, epicardial, long-axis cardiac-cycle sequences were obtained from eight open-chest pigs, yielding a total of 285 ultrasonic frames of RF data, which were analysed off-line on a Sun workstation. In addition, the video data from these studies was digitised and collected from each scan. Five backscatter parameters, calculated in the time-domain, including (1) the average integrated backscatter; (2) the average of the backscatter power from the log-compressed data; (3) the square of the average of the uncompressed radio frequency (RF) amplitude; (4) the square of the average of the RF amplitude from the log-compressed data; and (5) the square of the average grey-scale video data, were analysed and their variation throughout the cardiac cycle correlated against that obtained from integrated backscatter measurements. The backscatter values obtained were referenced to a gel calibration phantom widely used for 2-D calibration studies. Significant (p < 0.001), good correlation existed between the four backscatter parameters derived from the RF data. Reduced correlation was obtained between the video backscatter parameter and those derived from the RF data. Maximum cyclic variation between systole and diastole was measured from the integrated backscatter parameter and minimum from the three log-compressed data sets.